AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.
Nucleic Acids Res
; 50(D1): D439-D444, 2022 01 07.
Article
de En
| MEDLINE
| ID: mdl-34791371
ABSTRACT
The AlphaFold Protein Structure Database (AlphaFold DB, https//alphafold.ebi.ac.uk) is an openly accessible, extensive database of high-accuracy protein-structure predictions. Powered by AlphaFold v2.0 of DeepMind, it has enabled an unprecedented expansion of the structural coverage of the known protein-sequence space. AlphaFold DB provides programmatic access to and interactive visualization of predicted atomic coordinates, per-residue and pairwise model-confidence estimates and predicted aligned errors. The initial release of AlphaFold DB contains over 360,000 predicted structures across 21 model-organism proteomes, which will soon be expanded to cover most of the (over 100 million) representative sequences from the UniRef90 data set.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Logiciel
/
Protéines
/
Pliage des protéines
/
Bases de données de protéines
Type d'étude:
Prognostic_studies
Limites:
Animals
/
Humans
Langue:
En
Journal:
Nucleic Acids Res
Année:
2022
Type de document:
Article
Pays d'affiliation:
Royaume-Uni